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The first high-resolution meteorological forcing dataset for land process studies over China
被引:1070
|作者:
He, Jie
[1
]
Yang, Kun
[1
,2
]
Tang, Wenjun
[2
,3
]
Lu, Hui
[1
]
Qin, Jun
[3
]
Chen, Yingying
[2
,3
]
Li, Xin
[2
,3
]
机构:
[1] Tsinghua Univ, Dept Earth Syst Sci, Key Lab Earth Syst Modeling, Minist Educ, Beijing 100084, Peoples R China
[2] Chinese Acad Sci, Inst Tibetan Plateau Res, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China
[3] Chinese Acad Sci, Inst Tibetan Plateau Res, Ctr Earth Observat & Big Data Anal Poles 3, Beijing 100101, Peoples R China
基金:
中国国家自然科学基金;
关键词:
GAUGE OBSERVATIONS;
PRECIPITATION;
MODEL;
RADIATION;
D O I:
10.1038/s41597-020-0369-y
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
The China Meteorological Forcing Dataset (CMFD) is the first high spatial-temporal resolution gridded near-surface meteorological dataset developed specifically for studies of land surface processes in China. The dataset was made through fusion of remote sensing products, reanalysis datasets and in-situ station data. Its record begins in January 1979 and is ongoing (currently up to December 2018) with a temporal resolution of three hours and a spatial resolution of 0.1 degrees. Seven near-surface meteorological elements are provided in the CMFD, including 2-meter air temperature, surface pressure, and specific humidity, 10-meter wind speed, downward shortwave radiation, downward longwave radiation and precipitation rate. Validations against observations measured at independent stations show that the CMFD is of superior quality than the GLDAS (Global Land Data Assimilation System); this is because a larger number of stations are used to generate the CMFD than are utilised in the GLDAS. Due to its continuous temporal coverage and consistent quality, the CMFD is one of the most widely-used climate datasets for China.
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页数:11
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